2 papers
stat.ML2025
General Pruning Criteria for Fast SBL
Jakob Möderl, Erik Leitinger, Bernard Henri Fleury
Sparse Bayesian learning (SBL) associates to each weight in the underlying linear model a hyperparameter by assuming that each weight is Gaussian distributed with zero mean and pre…
eess.SP2023
Super-Resolution Estimation of UWB Channels including the Diffuse Component -- An SBL-Inspired Approach
Stefan Grebien, Erik Leitinger, Klaus Witrisal +1
In this paper, we present an iterative algorithm that detects and estimates the specular components and estimates the diffuse component of single-input-multiple-output (SIMO) ultra…